head to head · open source
llm-wiki-agent vs readme-ai
llm-wiki-agent has 3,671 GitHub stars, 426 forks, 4 open issues and last shipped 3 days ago. readme-ai has 3,005 stars, 296 forks, 57 open issues and last shipped yesterday. llm-wiki-agent leads on adoption by 22% (3,671 vs 3,005 stars). llm-wiki-agent is written in Python under MIT; readme-ai is written in Python under MIT. llm-wiki-agent has attracted 12% as many forks as stars, readme-ai 10%. readme-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (gemini), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| llm-wiki-agent | readme-ai | |
|---|---|---|
| GitHub stars | ★ 3.7K | ★ 3.0K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-04 |
| Forks | ⑂ 426 | ⑂ 296 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llm-wiki-agent if
- You weight community size — 3.7K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick readme-ai if
- You want the readme-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and readme-ai fits your workflow better
About llm-wiki-agent
LLM Wiki Agent A coding agent skill. Drop source documents into raw/ and tell the agent to ingest them — it reads them, extracts knowledge, and builds a persistent interlinked wiki. Every new source makes the wiki richer. You never write it. Most knowledge tools make you search your own notes. This one reads everything you've collected and writes a structured wiki that compounds over time — cross references already built, contradictions already flagged, synthesis already done. Related Projects Open Generative AI — Add AI image & video generation to your knowledge base pipeline Open AI Design Agent — Autonomous…
read the full llm-wiki-agent overview →
About readme-ai
Designed for simplicity, customization, and developer productivity. The metrics above are rendered with HyperWeave — an experimental SVG artifact layer for agents. Explore → Quick Links Intro Demo Features Quickstart Configuration Example Gallery Contributing Guidelines [!IMPORTANT] Explore the [Official Documentation][docs] for a complete list of features, customization options, and examples. Introduction ReadmeAI is a developer tool that automatically generates README files using a robust repository processing engine and advanced language models. Simply provide a URL or path to your codebase, and a well…
read the full readme-ai overview →
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Frequently asked questions
Is llm-wiki-agent or readme-ai more popular?
llm-wiki-agent has 3,671 GitHub stars and readme-ai has 3,005. llm-wiki-agent has the larger community by that measure.
Are llm-wiki-agent and readme-ai free?
Both are open source. llm-wiki-agent is licensed under MIT and readme-ai under MIT. Neither carries a licence fee.
What is the difference between llm-wiki-agent and readme-ai?
llm-wiki-agent is written in Python and readme-ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, llm-wiki-agent or readme-ai?
Choose llm-wiki-agent if you want the larger community (3,671 stars) or its MIT licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.